from typing import Optional
from collections import OrderedDict

import pandas as pd
import pyodbc

from mindsdb_sql import parse_sql
from mindsdb_sql.render.sqlalchemy_render import SqlalchemyRender
from sqlalchemy_access.base import AccessDialect
from mindsdb.integrations.libs.base import DatabaseHandler

from mindsdb_sql.parser.ast.base import ASTNode

from mindsdb.utilities import log
from mindsdb.integrations.libs.response import (
    HandlerStatusResponse as StatusResponse,
    HandlerResponse as Response,
    RESPONSE_TYPE
)
from mindsdb.integrations.libs.const import HANDLER_CONNECTION_ARG_TYPE as ARG_TYPE

logger = log.getLogger(__name__)


class AccessHandler(DatabaseHandler):
    """
    This handler handles connection and execution of the Microsoft Access statements.
    """

    name = 'access'

    def __init__(self, name: str, connection_data: Optional[dict], **kwargs):
        """
        Initialize the handler.
        Args:
            name (str): name of particular handler instance
            connection_data (dict): parameters for connecting to the database
            **kwargs: arbitrary keyword arguments.
        """
        super().__init__(name)
        self.parser = parse_sql
        self.dialect = 'access'
        self.connection_data = connection_data
        self.kwargs = kwargs

        self.connection = None
        self.is_connected = False

    def __del__(self):
        if self.is_connected is True:
            self.disconnect()

    def connect(self) -> StatusResponse:
        """
        Set up the connection required by the handler.
        Returns:
            HandlerStatusResponse
        """

        if self.is_connected is True:
            return self.connection

        self.connection = pyodbc.connect(
            r'Driver={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=' + self.connection_data['db_file']
        )
        self.is_connected = True

        return self.connection

    def disconnect(self):
        """
        Close any existing connections.
        """

        if self.is_connected is False:
            return

        self.connection.close()
        self.is_connected = False
        return self.is_connected

    def check_connection(self) -> StatusResponse:
        """
        Check connection to the handler.
        Returns:
            HandlerStatusResponse
        """

        response = StatusResponse(False)
        need_to_close = self.is_connected is False

        try:
            self.connect()
            response.success = True
        except Exception as e:
            logger.error(f'Error connecting to SQLite {self.connection_data["db_file"]}, {e}!')
            response.error_message = str(e)
        finally:
            if response.success is True and need_to_close:
                self.disconnect()
            if response.success is False and self.is_connected is True:
                self.is_connected = False

        return response

    def native_query(self, query: str) -> StatusResponse:
        """
        Receive raw query and act upon it somehow.
        Args:
            query (str): query in native format
        Returns:
            HandlerResponse
        """

        need_to_close = self.is_connected is False

        connection = self.connect()
        with connection.cursor() as cursor:
            try:
                cursor.execute(query)
                result = cursor.fetchall()
                if result:
                    response = Response(
                        RESPONSE_TYPE.TABLE,
                        data_frame=pd.DataFrame.from_records(
                            result,
                            columns=[x[0] for x in cursor.description]
                        )
                    )

                else:
                    response = Response(RESPONSE_TYPE.OK)
                    connection.commit()
            except Exception as e:
                logger.error(f'Error running query: {query} on {self.connection_data["db_file"]}!')
                response = Response(
                    RESPONSE_TYPE.ERROR,
                    error_message=str(e)
                )

        if need_to_close is True:
            self.disconnect()

        return response

    def query(self, query: ASTNode) -> StatusResponse:
        """
        Receive query as AST (abstract syntax tree) and act upon it somehow.
        Args:
            query (ASTNode): sql query represented as AST. May be any kind
                of query: SELECT, INTSERT, DELETE, etc
        Returns:
            HandlerResponse
        """

        renderer = SqlalchemyRender(AccessDialect)
        query_str = renderer.get_string(query, with_failback=True)
        return self.native_query(query_str)

    def get_tables(self) -> StatusResponse:
        """
        Return list of entities that will be accessible as tables.
        Returns:
            HandlerResponse
        """

        connection = self.connect()
        with connection.cursor() as cursor:
            df = pd.DataFrame([table.table_name for table in cursor.tables(tableType='Table')], columns=['table_name'])

        response = Response(
            RESPONSE_TYPE.TABLE,
            df
        )

        return response

    def get_columns(self, table_name: str) -> StatusResponse:
        """
        Returns a list of entity columns.
        Args:
            table_name (str): name of one of tables returned by self.get_tables()
        Returns:
            HandlerResponse
        """

        connection = self.connect()
        with connection.cursor() as cursor:
            df = pd.DataFrame(
                [(column.column_name, column.type_name) for column in cursor.columns(table=table_name)],
                columns=['column_name', 'data_type']
            )

        response = Response(
            RESPONSE_TYPE.TABLE,
            df
        )

        return response


connection_args = OrderedDict(
    db_file={
        'type': ARG_TYPE.STR,
        'description': 'The database file where the data will be stored.'
    }
)

connection_args_example = OrderedDict(
    db_file='C:\\Users\\minurap\\Documents\\example_db.accdb'
)
